Bibliographic record
Abstract
Ken Hill has been living with the ghost of a nine-year-old Nova Scotia boy for over eighteen years. Hill can picture Andrew Warburton as he was on a sunny day in July 1986 when he was enjoying activities near his aunt's rural home. Dressed in swimming trunks, a tank top, and sneakers, he independently set off to meet his older brother at a lake several hundred meters from the house. Although he had previously walked the path with playmates, Andrew disappeared in the forest on his way to the lake. A massive search effort resulted, ultimately involving over 5,000 community volunteers, fire fighters, and military personnel. The police search manager called the nearby university and asked for a psychologist who knew anything about children's spatial behaviour. Professor Ken Hill agreed to meet the search manager at the incident command post. Hill was asked to indicate on a map of the surrounding environment where search efforts should be focused. Hill remembers that he could think of nothing in the sizable literature on the development of children's spatial representation that applied to this problem. It was obvious that Hill had little to offer, and as the co-ordinators of the search continued to converse among themselves, Hill slipped away from the post to join one of the ground search teams. After eight days of the search effort, Andrew Warburton was found dead from hypothermia, approximately 3.2 km from the place where he had last been seen.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.015 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".